Update MT Model
Browse files- .gitattributes (1) +16 -0
- .gitattributes (2) +16 -0
- .gitattributes (3) +16 -0
- README.md +36 -0
- config.json +58 -0
- pytorch_model.bin +3 -0
- source.spm +0 -0
- special_tokens_map.json +1 -0
- target.spm +0 -0
- tokenizer_config.json +1 -0
- train_results.txt +3 -0
- trainer_state.json +1505 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes (1)
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
2 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
4 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
5 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
6 |
+
*.tar.gz filter=lfs diff=lfs merge=lfs -text
|
7 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
8 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
9 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
10 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
11 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
14 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
15 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
16 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
.gitattributes (2)
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
2 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
4 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
5 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
6 |
+
*.tar.gz filter=lfs diff=lfs merge=lfs -text
|
7 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
8 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
9 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
10 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
11 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
14 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
15 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
16 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
.gitattributes (3)
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
2 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
4 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
5 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
6 |
+
*.tar.gz filter=lfs diff=lfs merge=lfs -text
|
7 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
8 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
9 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
10 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
11 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
14 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
15 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
16 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
- ar
|
5 |
+
tags:
|
6 |
+
- translation
|
7 |
+
- Arabic Abjad Characters
|
8 |
+
license: Apache 2.0
|
9 |
+
datasets:
|
10 |
+
- marefa-mt
|
11 |
+
---
|
12 |
+
|
13 |
+
# Marefa-Mt-En-Ar
|
14 |
+
|
15 |
+
## Model description
|
16 |
+
|
17 |
+
This is a model for translating English to Arabic. The special about this model that is take into considration the
|
18 |
+
using of additional Arabic characters like `پ` or `گ`.
|
19 |
+
|
20 |
+
## Intended uses & limitations
|
21 |
+
|
22 |
+
#### How to use
|
23 |
+
|
24 |
+
```python
|
25 |
+
from transformers import MarianTokenizer, MarianMTModel
|
26 |
+
mname = "marefa-nlp/marefa-mt-en-ar"
|
27 |
+
tokenizer = MarianTokenizer.from_pretrained(mname)
|
28 |
+
model = MarianMTModel.from_pretrained(mname)
|
29 |
+
|
30 |
+
input = "Hello, I am here."
|
31 |
+
|
32 |
+
translated_tokens = custom_model.generate(**tokenizer.prepare_seq2seq_batch([input], return_tensors="pt"))
|
33 |
+
translated_text = [tokenizer.decode(t, skip_special_tokens=True) for t in translated_tokens]
|
34 |
+
|
35 |
+
print(translated_text) # أهلا. أنا هنا
|
36 |
+
```
|
config.json
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "Helsinki-NLP/opus-mt-en-ar",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "swish",
|
5 |
+
"add_bias_logits": false,
|
6 |
+
"add_final_layer_norm": false,
|
7 |
+
"architectures": [
|
8 |
+
"MarianMTModel"
|
9 |
+
],
|
10 |
+
"attention_dropout": 0.0,
|
11 |
+
"bad_words_ids": [
|
12 |
+
[
|
13 |
+
62801
|
14 |
+
]
|
15 |
+
],
|
16 |
+
"bos_token_id": 0,
|
17 |
+
"classif_dropout": 0.0,
|
18 |
+
"classifier_dropout": 0.0,
|
19 |
+
"d_model": 512,
|
20 |
+
"decoder_attention_heads": 8,
|
21 |
+
"decoder_ffn_dim": 2048,
|
22 |
+
"decoder_layerdrop": 0.0,
|
23 |
+
"decoder_layers": 6,
|
24 |
+
"decoder_start_token_id": 62801,
|
25 |
+
"dropout": 0.1,
|
26 |
+
"encoder_attention_heads": 8,
|
27 |
+
"encoder_ffn_dim": 2048,
|
28 |
+
"encoder_layerdrop": 0.0,
|
29 |
+
"encoder_layers": 6,
|
30 |
+
"eos_token_id": 0,
|
31 |
+
"extra_pos_embeddings": 62802,
|
32 |
+
"gradient_checkpointing": false,
|
33 |
+
"id2label": {
|
34 |
+
"0": "LABEL_0",
|
35 |
+
"1": "LABEL_1",
|
36 |
+
"2": "LABEL_2"
|
37 |
+
},
|
38 |
+
"init_std": 0.02,
|
39 |
+
"is_encoder_decoder": true,
|
40 |
+
"label2id": {
|
41 |
+
"LABEL_0": 0,
|
42 |
+
"LABEL_1": 1,
|
43 |
+
"LABEL_2": 2
|
44 |
+
},
|
45 |
+
"max_length": 512,
|
46 |
+
"max_position_embeddings": 512,
|
47 |
+
"model_type": "marian",
|
48 |
+
"normalize_before": false,
|
49 |
+
"normalize_embedding": false,
|
50 |
+
"num_beams": 4,
|
51 |
+
"num_hidden_layers": 6,
|
52 |
+
"pad_token_id": 62801,
|
53 |
+
"scale_embedding": true,
|
54 |
+
"static_position_embeddings": true,
|
55 |
+
"transformers_version": "4.3.0.dev0",
|
56 |
+
"use_cache": true,
|
57 |
+
"vocab_size": 62802
|
58 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1e9b93f2ada63a677b458931a2b3ac3fed100bbce10dc2cbbbf615aabe0d993d
|
3 |
+
size 305511975
|
source.spm
ADDED
Binary file (801 kB). View file
|
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
|
target.spm
ADDED
Binary file (917 kB). View file
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"source_lang": "eng", "target_lang": "ara", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "Helsinki-NLP/opus-mt-en-ar"}
|
train_results.txt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
epoch = 3.0
|
2 |
+
train_runtime = 13647.3004
|
3 |
+
train_samples_per_second = 9.068
|
trainer_state.json
ADDED
@@ -0,0 +1,1505 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"global_step": 123750,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 4.97979797979798e-05,
|
13 |
+
"loss": 1.9971,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.02,
|
18 |
+
"learning_rate": 4.9595959595959594e-05,
|
19 |
+
"loss": 1.9127,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.04,
|
24 |
+
"learning_rate": 4.93939393939394e-05,
|
25 |
+
"loss": 1.822,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.05,
|
30 |
+
"learning_rate": 4.919191919191919e-05,
|
31 |
+
"loss": 1.799,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.06,
|
36 |
+
"learning_rate": 4.898989898989899e-05,
|
37 |
+
"loss": 1.7302,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.07,
|
42 |
+
"learning_rate": 4.878787878787879e-05,
|
43 |
+
"loss": 1.7547,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08,
|
48 |
+
"learning_rate": 4.858585858585859e-05,
|
49 |
+
"loss": 1.7697,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.1,
|
54 |
+
"learning_rate": 4.838383838383839e-05,
|
55 |
+
"loss": 1.729,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.11,
|
60 |
+
"learning_rate": 4.8181818181818186e-05,
|
61 |
+
"loss": 1.7333,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.12,
|
66 |
+
"learning_rate": 4.797979797979798e-05,
|
67 |
+
"loss": 1.7238,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.13,
|
72 |
+
"learning_rate": 4.7777777777777784e-05,
|
73 |
+
"loss": 1.678,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.15,
|
78 |
+
"learning_rate": 4.7575757575757576e-05,
|
79 |
+
"loss": 1.6989,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.16,
|
84 |
+
"learning_rate": 4.7373737373737375e-05,
|
85 |
+
"loss": 1.7389,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17,
|
90 |
+
"learning_rate": 4.7171717171717174e-05,
|
91 |
+
"loss": 1.6863,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.18,
|
96 |
+
"learning_rate": 4.696969696969697e-05,
|
97 |
+
"loss": 1.6846,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.19,
|
102 |
+
"learning_rate": 4.676767676767677e-05,
|
103 |
+
"loss": 1.6653,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.21,
|
108 |
+
"learning_rate": 4.656565656565657e-05,
|
109 |
+
"loss": 1.6418,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.22,
|
114 |
+
"learning_rate": 4.636363636363636e-05,
|
115 |
+
"loss": 1.6847,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.23,
|
120 |
+
"learning_rate": 4.616161616161616e-05,
|
121 |
+
"loss": 1.6139,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.24,
|
126 |
+
"learning_rate": 4.595959595959596e-05,
|
127 |
+
"loss": 1.632,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.25,
|
132 |
+
"learning_rate": 4.575757575757576e-05,
|
133 |
+
"loss": 1.6174,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.27,
|
138 |
+
"learning_rate": 4.555555555555556e-05,
|
139 |
+
"loss": 1.6112,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.28,
|
144 |
+
"learning_rate": 4.535353535353535e-05,
|
145 |
+
"loss": 1.621,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.29,
|
150 |
+
"learning_rate": 4.515151515151516e-05,
|
151 |
+
"loss": 1.635,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.3,
|
156 |
+
"learning_rate": 4.494949494949495e-05,
|
157 |
+
"loss": 1.6097,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.32,
|
162 |
+
"learning_rate": 4.474747474747475e-05,
|
163 |
+
"loss": 1.6452,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.33,
|
168 |
+
"learning_rate": 4.454545454545455e-05,
|
169 |
+
"loss": 1.6256,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.34,
|
174 |
+
"learning_rate": 4.4343434343434346e-05,
|
175 |
+
"loss": 1.5971,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.35,
|
180 |
+
"learning_rate": 4.4141414141414145e-05,
|
181 |
+
"loss": 1.6227,
|
182 |
+
"step": 14500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.36,
|
186 |
+
"learning_rate": 4.3939393939393944e-05,
|
187 |
+
"loss": 1.5739,
|
188 |
+
"step": 15000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.38,
|
192 |
+
"learning_rate": 4.3737373737373736e-05,
|
193 |
+
"loss": 1.5691,
|
194 |
+
"step": 15500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.39,
|
198 |
+
"learning_rate": 4.3535353535353535e-05,
|
199 |
+
"loss": 1.5546,
|
200 |
+
"step": 16000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.4,
|
204 |
+
"learning_rate": 4.3333333333333334e-05,
|
205 |
+
"loss": 1.5823,
|
206 |
+
"step": 16500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.41,
|
210 |
+
"learning_rate": 4.313131313131313e-05,
|
211 |
+
"loss": 1.5551,
|
212 |
+
"step": 17000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.42,
|
216 |
+
"learning_rate": 4.292929292929293e-05,
|
217 |
+
"loss": 1.5894,
|
218 |
+
"step": 17500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.44,
|
222 |
+
"learning_rate": 4.2727272727272724e-05,
|
223 |
+
"loss": 1.5619,
|
224 |
+
"step": 18000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.45,
|
228 |
+
"learning_rate": 4.252525252525253e-05,
|
229 |
+
"loss": 1.5391,
|
230 |
+
"step": 18500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.46,
|
234 |
+
"learning_rate": 4.232323232323233e-05,
|
235 |
+
"loss": 1.5915,
|
236 |
+
"step": 19000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.47,
|
240 |
+
"learning_rate": 4.212121212121212e-05,
|
241 |
+
"loss": 1.5544,
|
242 |
+
"step": 19500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.48,
|
246 |
+
"learning_rate": 4.191919191919192e-05,
|
247 |
+
"loss": 1.5526,
|
248 |
+
"step": 20000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.5,
|
252 |
+
"learning_rate": 4.171717171717172e-05,
|
253 |
+
"loss": 1.6034,
|
254 |
+
"step": 20500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.51,
|
258 |
+
"learning_rate": 4.151515151515152e-05,
|
259 |
+
"loss": 1.5726,
|
260 |
+
"step": 21000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.52,
|
264 |
+
"learning_rate": 4.131313131313132e-05,
|
265 |
+
"loss": 1.5359,
|
266 |
+
"step": 21500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.53,
|
270 |
+
"learning_rate": 4.111111111111111e-05,
|
271 |
+
"loss": 1.5478,
|
272 |
+
"step": 22000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.55,
|
276 |
+
"learning_rate": 4.0909090909090915e-05,
|
277 |
+
"loss": 1.5536,
|
278 |
+
"step": 22500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.56,
|
282 |
+
"learning_rate": 4.070707070707071e-05,
|
283 |
+
"loss": 1.5392,
|
284 |
+
"step": 23000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.57,
|
288 |
+
"learning_rate": 4.0505050505050506e-05,
|
289 |
+
"loss": 1.5625,
|
290 |
+
"step": 23500
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.58,
|
294 |
+
"learning_rate": 4.0303030303030305e-05,
|
295 |
+
"loss": 1.5591,
|
296 |
+
"step": 24000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.59,
|
300 |
+
"learning_rate": 4.01010101010101e-05,
|
301 |
+
"loss": 1.5213,
|
302 |
+
"step": 24500
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.61,
|
306 |
+
"learning_rate": 3.98989898989899e-05,
|
307 |
+
"loss": 1.5745,
|
308 |
+
"step": 25000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.62,
|
312 |
+
"learning_rate": 3.96969696969697e-05,
|
313 |
+
"loss": 1.5482,
|
314 |
+
"step": 25500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.63,
|
318 |
+
"learning_rate": 3.9494949494949494e-05,
|
319 |
+
"loss": 1.5316,
|
320 |
+
"step": 26000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.64,
|
324 |
+
"learning_rate": 3.929292929292929e-05,
|
325 |
+
"loss": 1.5337,
|
326 |
+
"step": 26500
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.65,
|
330 |
+
"learning_rate": 3.909090909090909e-05,
|
331 |
+
"loss": 1.4942,
|
332 |
+
"step": 27000
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.67,
|
336 |
+
"learning_rate": 3.888888888888889e-05,
|
337 |
+
"loss": 1.5151,
|
338 |
+
"step": 27500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.68,
|
342 |
+
"learning_rate": 3.868686868686869e-05,
|
343 |
+
"loss": 1.5496,
|
344 |
+
"step": 28000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.69,
|
348 |
+
"learning_rate": 3.848484848484848e-05,
|
349 |
+
"loss": 1.5163,
|
350 |
+
"step": 28500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.7,
|
354 |
+
"learning_rate": 3.828282828282829e-05,
|
355 |
+
"loss": 1.5256,
|
356 |
+
"step": 29000
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.72,
|
360 |
+
"learning_rate": 3.8080808080808087e-05,
|
361 |
+
"loss": 1.4599,
|
362 |
+
"step": 29500
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.73,
|
366 |
+
"learning_rate": 3.787878787878788e-05,
|
367 |
+
"loss": 1.4989,
|
368 |
+
"step": 30000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.74,
|
372 |
+
"learning_rate": 3.767676767676768e-05,
|
373 |
+
"loss": 1.5055,
|
374 |
+
"step": 30500
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.75,
|
378 |
+
"learning_rate": 3.747474747474748e-05,
|
379 |
+
"loss": 1.5022,
|
380 |
+
"step": 31000
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.76,
|
384 |
+
"learning_rate": 3.7272727272727276e-05,
|
385 |
+
"loss": 1.4822,
|
386 |
+
"step": 31500
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.78,
|
390 |
+
"learning_rate": 3.7070707070707075e-05,
|
391 |
+
"loss": 1.5122,
|
392 |
+
"step": 32000
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.79,
|
396 |
+
"learning_rate": 3.686868686868687e-05,
|
397 |
+
"loss": 1.4803,
|
398 |
+
"step": 32500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.8,
|
402 |
+
"learning_rate": 3.6666666666666666e-05,
|
403 |
+
"loss": 1.4926,
|
404 |
+
"step": 33000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.81,
|
408 |
+
"learning_rate": 3.6464646464646465e-05,
|
409 |
+
"loss": 1.4901,
|
410 |
+
"step": 33500
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.82,
|
414 |
+
"learning_rate": 3.6262626262626264e-05,
|
415 |
+
"loss": 1.4719,
|
416 |
+
"step": 34000
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.84,
|
420 |
+
"learning_rate": 3.606060606060606e-05,
|
421 |
+
"loss": 1.4807,
|
422 |
+
"step": 34500
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.85,
|
426 |
+
"learning_rate": 3.5858585858585855e-05,
|
427 |
+
"loss": 1.5062,
|
428 |
+
"step": 35000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.86,
|
432 |
+
"learning_rate": 3.565656565656566e-05,
|
433 |
+
"loss": 1.5005,
|
434 |
+
"step": 35500
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.87,
|
438 |
+
"learning_rate": 3.545454545454546e-05,
|
439 |
+
"loss": 1.4907,
|
440 |
+
"step": 36000
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.88,
|
444 |
+
"learning_rate": 3.525252525252525e-05,
|
445 |
+
"loss": 1.4665,
|
446 |
+
"step": 36500
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.9,
|
450 |
+
"learning_rate": 3.505050505050505e-05,
|
451 |
+
"loss": 1.4935,
|
452 |
+
"step": 37000
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.91,
|
456 |
+
"learning_rate": 3.484848484848485e-05,
|
457 |
+
"loss": 1.4598,
|
458 |
+
"step": 37500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.92,
|
462 |
+
"learning_rate": 3.464646464646465e-05,
|
463 |
+
"loss": 1.4724,
|
464 |
+
"step": 38000
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.93,
|
468 |
+
"learning_rate": 3.444444444444445e-05,
|
469 |
+
"loss": 1.4927,
|
470 |
+
"step": 38500
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.95,
|
474 |
+
"learning_rate": 3.424242424242424e-05,
|
475 |
+
"loss": 1.4694,
|
476 |
+
"step": 39000
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.96,
|
480 |
+
"learning_rate": 3.4040404040404045e-05,
|
481 |
+
"loss": 1.479,
|
482 |
+
"step": 39500
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.97,
|
486 |
+
"learning_rate": 3.3838383838383844e-05,
|
487 |
+
"loss": 1.5048,
|
488 |
+
"step": 40000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.98,
|
492 |
+
"learning_rate": 3.3636363636363636e-05,
|
493 |
+
"loss": 1.4738,
|
494 |
+
"step": 40500
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.99,
|
498 |
+
"learning_rate": 3.3434343434343435e-05,
|
499 |
+
"loss": 1.4608,
|
500 |
+
"step": 41000
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.01,
|
504 |
+
"learning_rate": 3.3232323232323234e-05,
|
505 |
+
"loss": 1.3329,
|
506 |
+
"step": 41500
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.02,
|
510 |
+
"learning_rate": 3.303030303030303e-05,
|
511 |
+
"loss": 1.3101,
|
512 |
+
"step": 42000
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 1.03,
|
516 |
+
"learning_rate": 3.282828282828283e-05,
|
517 |
+
"loss": 1.2492,
|
518 |
+
"step": 42500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 1.04,
|
522 |
+
"learning_rate": 3.2626262626262624e-05,
|
523 |
+
"loss": 1.2951,
|
524 |
+
"step": 43000
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 1.05,
|
528 |
+
"learning_rate": 3.2424242424242423e-05,
|
529 |
+
"loss": 1.2733,
|
530 |
+
"step": 43500
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 1.07,
|
534 |
+
"learning_rate": 3.222222222222223e-05,
|
535 |
+
"loss": 1.2937,
|
536 |
+
"step": 44000
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.08,
|
540 |
+
"learning_rate": 3.202020202020202e-05,
|
541 |
+
"loss": 1.2735,
|
542 |
+
"step": 44500
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.09,
|
546 |
+
"learning_rate": 3.181818181818182e-05,
|
547 |
+
"loss": 1.2602,
|
548 |
+
"step": 45000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.1,
|
552 |
+
"learning_rate": 3.161616161616161e-05,
|
553 |
+
"loss": 1.2623,
|
554 |
+
"step": 45500
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 1.12,
|
558 |
+
"learning_rate": 3.141414141414142e-05,
|
559 |
+
"loss": 1.2759,
|
560 |
+
"step": 46000
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 1.13,
|
564 |
+
"learning_rate": 3.121212121212122e-05,
|
565 |
+
"loss": 1.2684,
|
566 |
+
"step": 46500
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 1.14,
|
570 |
+
"learning_rate": 3.101010101010101e-05,
|
571 |
+
"loss": 1.2501,
|
572 |
+
"step": 47000
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 1.15,
|
576 |
+
"learning_rate": 3.080808080808081e-05,
|
577 |
+
"loss": 1.3255,
|
578 |
+
"step": 47500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 1.16,
|
582 |
+
"learning_rate": 3.060606060606061e-05,
|
583 |
+
"loss": 1.2538,
|
584 |
+
"step": 48000
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.18,
|
588 |
+
"learning_rate": 3.0404040404040406e-05,
|
589 |
+
"loss": 1.2527,
|
590 |
+
"step": 48500
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.19,
|
594 |
+
"learning_rate": 3.0202020202020205e-05,
|
595 |
+
"loss": 1.2417,
|
596 |
+
"step": 49000
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 1.2,
|
600 |
+
"learning_rate": 3e-05,
|
601 |
+
"loss": 1.2679,
|
602 |
+
"step": 49500
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 1.21,
|
606 |
+
"learning_rate": 2.9797979797979796e-05,
|
607 |
+
"loss": 1.2634,
|
608 |
+
"step": 50000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 1.22,
|
612 |
+
"learning_rate": 2.95959595959596e-05,
|
613 |
+
"loss": 1.2838,
|
614 |
+
"step": 50500
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 1.24,
|
618 |
+
"learning_rate": 2.9393939393939394e-05,
|
619 |
+
"loss": 1.2911,
|
620 |
+
"step": 51000
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 1.25,
|
624 |
+
"learning_rate": 2.9191919191919193e-05,
|
625 |
+
"loss": 1.2957,
|
626 |
+
"step": 51500
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.26,
|
630 |
+
"learning_rate": 2.898989898989899e-05,
|
631 |
+
"loss": 1.2989,
|
632 |
+
"step": 52000
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.27,
|
636 |
+
"learning_rate": 2.878787878787879e-05,
|
637 |
+
"loss": 1.2837,
|
638 |
+
"step": 52500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 1.28,
|
642 |
+
"learning_rate": 2.8585858585858587e-05,
|
643 |
+
"loss": 1.2799,
|
644 |
+
"step": 53000
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 1.3,
|
648 |
+
"learning_rate": 2.8383838383838386e-05,
|
649 |
+
"loss": 1.3081,
|
650 |
+
"step": 53500
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 1.31,
|
654 |
+
"learning_rate": 2.818181818181818e-05,
|
655 |
+
"loss": 1.2611,
|
656 |
+
"step": 54000
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 1.32,
|
660 |
+
"learning_rate": 2.7979797979797984e-05,
|
661 |
+
"loss": 1.2629,
|
662 |
+
"step": 54500
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 1.33,
|
666 |
+
"learning_rate": 2.777777777777778e-05,
|
667 |
+
"loss": 1.2824,
|
668 |
+
"step": 55000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.35,
|
672 |
+
"learning_rate": 2.7575757575757578e-05,
|
673 |
+
"loss": 1.2779,
|
674 |
+
"step": 55500
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.36,
|
678 |
+
"learning_rate": 2.7373737373737374e-05,
|
679 |
+
"loss": 1.2509,
|
680 |
+
"step": 56000
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.37,
|
684 |
+
"learning_rate": 2.717171717171717e-05,
|
685 |
+
"loss": 1.2767,
|
686 |
+
"step": 56500
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 1.38,
|
690 |
+
"learning_rate": 2.696969696969697e-05,
|
691 |
+
"loss": 1.2694,
|
692 |
+
"step": 57000
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 1.39,
|
696 |
+
"learning_rate": 2.676767676767677e-05,
|
697 |
+
"loss": 1.2863,
|
698 |
+
"step": 57500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 1.41,
|
702 |
+
"learning_rate": 2.6565656565656566e-05,
|
703 |
+
"loss": 1.2726,
|
704 |
+
"step": 58000
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.42,
|
708 |
+
"learning_rate": 2.636363636363636e-05,
|
709 |
+
"loss": 1.2869,
|
710 |
+
"step": 58500
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.43,
|
714 |
+
"learning_rate": 2.6161616161616164e-05,
|
715 |
+
"loss": 1.2701,
|
716 |
+
"step": 59000
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.44,
|
720 |
+
"learning_rate": 2.5959595959595963e-05,
|
721 |
+
"loss": 1.2943,
|
722 |
+
"step": 59500
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.45,
|
726 |
+
"learning_rate": 2.575757575757576e-05,
|
727 |
+
"loss": 1.2579,
|
728 |
+
"step": 60000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 1.47,
|
732 |
+
"learning_rate": 2.5555555555555554e-05,
|
733 |
+
"loss": 1.2592,
|
734 |
+
"step": 60500
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 1.48,
|
738 |
+
"learning_rate": 2.5353535353535356e-05,
|
739 |
+
"loss": 1.2633,
|
740 |
+
"step": 61000
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 1.49,
|
744 |
+
"learning_rate": 2.5151515151515155e-05,
|
745 |
+
"loss": 1.2764,
|
746 |
+
"step": 61500
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.5,
|
750 |
+
"learning_rate": 2.494949494949495e-05,
|
751 |
+
"loss": 1.2795,
|
752 |
+
"step": 62000
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 1.52,
|
756 |
+
"learning_rate": 2.474747474747475e-05,
|
757 |
+
"loss": 1.2626,
|
758 |
+
"step": 62500
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.53,
|
762 |
+
"learning_rate": 2.4545454545454545e-05,
|
763 |
+
"loss": 1.2653,
|
764 |
+
"step": 63000
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.54,
|
768 |
+
"learning_rate": 2.4343434343434344e-05,
|
769 |
+
"loss": 1.277,
|
770 |
+
"step": 63500
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 1.55,
|
774 |
+
"learning_rate": 2.4141414141414143e-05,
|
775 |
+
"loss": 1.271,
|
776 |
+
"step": 64000
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 1.56,
|
780 |
+
"learning_rate": 2.393939393939394e-05,
|
781 |
+
"loss": 1.3027,
|
782 |
+
"step": 64500
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 1.58,
|
786 |
+
"learning_rate": 2.3737373737373738e-05,
|
787 |
+
"loss": 1.2827,
|
788 |
+
"step": 65000
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.59,
|
792 |
+
"learning_rate": 2.3535353535353537e-05,
|
793 |
+
"loss": 1.2849,
|
794 |
+
"step": 65500
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 1.6,
|
798 |
+
"learning_rate": 2.3333333333333336e-05,
|
799 |
+
"loss": 1.244,
|
800 |
+
"step": 66000
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.61,
|
804 |
+
"learning_rate": 2.313131313131313e-05,
|
805 |
+
"loss": 1.2626,
|
806 |
+
"step": 66500
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.62,
|
810 |
+
"learning_rate": 2.292929292929293e-05,
|
811 |
+
"loss": 1.224,
|
812 |
+
"step": 67000
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 1.64,
|
816 |
+
"learning_rate": 2.272727272727273e-05,
|
817 |
+
"loss": 1.2652,
|
818 |
+
"step": 67500
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 1.65,
|
822 |
+
"learning_rate": 2.2525252525252528e-05,
|
823 |
+
"loss": 1.2503,
|
824 |
+
"step": 68000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 1.66,
|
828 |
+
"learning_rate": 2.2323232323232324e-05,
|
829 |
+
"loss": 1.2417,
|
830 |
+
"step": 68500
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.67,
|
834 |
+
"learning_rate": 2.2121212121212123e-05,
|
835 |
+
"loss": 1.285,
|
836 |
+
"step": 69000
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 1.68,
|
840 |
+
"learning_rate": 2.191919191919192e-05,
|
841 |
+
"loss": 1.2628,
|
842 |
+
"step": 69500
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.7,
|
846 |
+
"learning_rate": 2.171717171717172e-05,
|
847 |
+
"loss": 1.2363,
|
848 |
+
"step": 70000
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.71,
|
852 |
+
"learning_rate": 2.1515151515151516e-05,
|
853 |
+
"loss": 1.2178,
|
854 |
+
"step": 70500
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 1.72,
|
858 |
+
"learning_rate": 2.1313131313131315e-05,
|
859 |
+
"loss": 1.2634,
|
860 |
+
"step": 71000
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 1.73,
|
864 |
+
"learning_rate": 2.111111111111111e-05,
|
865 |
+
"loss": 1.2865,
|
866 |
+
"step": 71500
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 1.75,
|
870 |
+
"learning_rate": 2.090909090909091e-05,
|
871 |
+
"loss": 1.263,
|
872 |
+
"step": 72000
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.76,
|
876 |
+
"learning_rate": 2.070707070707071e-05,
|
877 |
+
"loss": 1.2734,
|
878 |
+
"step": 72500
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 1.77,
|
882 |
+
"learning_rate": 2.0505050505050504e-05,
|
883 |
+
"loss": 1.2881,
|
884 |
+
"step": 73000
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.78,
|
888 |
+
"learning_rate": 2.0303030303030303e-05,
|
889 |
+
"loss": 1.2164,
|
890 |
+
"step": 73500
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.79,
|
894 |
+
"learning_rate": 2.0101010101010102e-05,
|
895 |
+
"loss": 1.2381,
|
896 |
+
"step": 74000
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 1.81,
|
900 |
+
"learning_rate": 1.98989898989899e-05,
|
901 |
+
"loss": 1.2552,
|
902 |
+
"step": 74500
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 1.82,
|
906 |
+
"learning_rate": 1.9696969696969697e-05,
|
907 |
+
"loss": 1.2883,
|
908 |
+
"step": 75000
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 1.83,
|
912 |
+
"learning_rate": 1.9494949494949496e-05,
|
913 |
+
"loss": 1.238,
|
914 |
+
"step": 75500
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.84,
|
918 |
+
"learning_rate": 1.9292929292929295e-05,
|
919 |
+
"loss": 1.2566,
|
920 |
+
"step": 76000
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.85,
|
924 |
+
"learning_rate": 1.9090909090909094e-05,
|
925 |
+
"loss": 1.2648,
|
926 |
+
"step": 76500
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 1.87,
|
930 |
+
"learning_rate": 1.888888888888889e-05,
|
931 |
+
"loss": 1.2749,
|
932 |
+
"step": 77000
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.88,
|
936 |
+
"learning_rate": 1.8686868686868688e-05,
|
937 |
+
"loss": 1.2534,
|
938 |
+
"step": 77500
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 1.89,
|
942 |
+
"learning_rate": 1.8484848484848487e-05,
|
943 |
+
"loss": 1.2511,
|
944 |
+
"step": 78000
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 1.9,
|
948 |
+
"learning_rate": 1.8282828282828286e-05,
|
949 |
+
"loss": 1.2808,
|
950 |
+
"step": 78500
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 1.92,
|
954 |
+
"learning_rate": 1.808080808080808e-05,
|
955 |
+
"loss": 1.2687,
|
956 |
+
"step": 79000
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 1.93,
|
960 |
+
"learning_rate": 1.787878787878788e-05,
|
961 |
+
"loss": 1.2495,
|
962 |
+
"step": 79500
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 1.94,
|
966 |
+
"learning_rate": 1.7676767676767676e-05,
|
967 |
+
"loss": 1.2671,
|
968 |
+
"step": 80000
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 1.95,
|
972 |
+
"learning_rate": 1.7474747474747475e-05,
|
973 |
+
"loss": 1.2517,
|
974 |
+
"step": 80500
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.96,
|
978 |
+
"learning_rate": 1.7272727272727274e-05,
|
979 |
+
"loss": 1.2058,
|
980 |
+
"step": 81000
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 1.98,
|
984 |
+
"learning_rate": 1.707070707070707e-05,
|
985 |
+
"loss": 1.2215,
|
986 |
+
"step": 81500
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 1.99,
|
990 |
+
"learning_rate": 1.686868686868687e-05,
|
991 |
+
"loss": 1.2407,
|
992 |
+
"step": 82000
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 2.0,
|
996 |
+
"learning_rate": 1.6666666666666667e-05,
|
997 |
+
"loss": 1.2347,
|
998 |
+
"step": 82500
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 2.01,
|
1002 |
+
"learning_rate": 1.6464646464646466e-05,
|
1003 |
+
"loss": 1.0606,
|
1004 |
+
"step": 83000
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 2.02,
|
1008 |
+
"learning_rate": 1.6262626262626262e-05,
|
1009 |
+
"loss": 1.0993,
|
1010 |
+
"step": 83500
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.04,
|
1014 |
+
"learning_rate": 1.606060606060606e-05,
|
1015 |
+
"loss": 1.0871,
|
1016 |
+
"step": 84000
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 2.05,
|
1020 |
+
"learning_rate": 1.585858585858586e-05,
|
1021 |
+
"loss": 1.0975,
|
1022 |
+
"step": 84500
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 2.06,
|
1026 |
+
"learning_rate": 1.565656565656566e-05,
|
1027 |
+
"loss": 1.098,
|
1028 |
+
"step": 85000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 2.07,
|
1032 |
+
"learning_rate": 1.5454545454545454e-05,
|
1033 |
+
"loss": 1.105,
|
1034 |
+
"step": 85500
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 2.08,
|
1038 |
+
"learning_rate": 1.5252525252525255e-05,
|
1039 |
+
"loss": 1.1159,
|
1040 |
+
"step": 86000
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.1,
|
1044 |
+
"learning_rate": 1.505050505050505e-05,
|
1045 |
+
"loss": 1.1012,
|
1046 |
+
"step": 86500
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 2.11,
|
1050 |
+
"learning_rate": 1.484848484848485e-05,
|
1051 |
+
"loss": 1.0811,
|
1052 |
+
"step": 87000
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.12,
|
1056 |
+
"learning_rate": 1.4646464646464647e-05,
|
1057 |
+
"loss": 1.0882,
|
1058 |
+
"step": 87500
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 2.13,
|
1062 |
+
"learning_rate": 1.4444444444444444e-05,
|
1063 |
+
"loss": 1.0659,
|
1064 |
+
"step": 88000
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 2.15,
|
1068 |
+
"learning_rate": 1.4242424242424243e-05,
|
1069 |
+
"loss": 1.0932,
|
1070 |
+
"step": 88500
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 2.16,
|
1074 |
+
"learning_rate": 1.404040404040404e-05,
|
1075 |
+
"loss": 1.0818,
|
1076 |
+
"step": 89000
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 2.17,
|
1080 |
+
"learning_rate": 1.383838383838384e-05,
|
1081 |
+
"loss": 1.096,
|
1082 |
+
"step": 89500
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 2.18,
|
1086 |
+
"learning_rate": 1.3636363636363637e-05,
|
1087 |
+
"loss": 1.0844,
|
1088 |
+
"step": 90000
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 2.19,
|
1092 |
+
"learning_rate": 1.3434343434343436e-05,
|
1093 |
+
"loss": 1.0893,
|
1094 |
+
"step": 90500
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 2.21,
|
1098 |
+
"learning_rate": 1.3232323232323233e-05,
|
1099 |
+
"loss": 1.1083,
|
1100 |
+
"step": 91000
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 2.22,
|
1104 |
+
"learning_rate": 1.3030303030303032e-05,
|
1105 |
+
"loss": 1.0416,
|
1106 |
+
"step": 91500
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 2.23,
|
1110 |
+
"learning_rate": 1.2828282828282829e-05,
|
1111 |
+
"loss": 1.1267,
|
1112 |
+
"step": 92000
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 2.24,
|
1116 |
+
"learning_rate": 1.2626262626262628e-05,
|
1117 |
+
"loss": 1.0787,
|
1118 |
+
"step": 92500
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 2.25,
|
1122 |
+
"learning_rate": 1.2424242424242424e-05,
|
1123 |
+
"loss": 1.0863,
|
1124 |
+
"step": 93000
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 2.27,
|
1128 |
+
"learning_rate": 1.2222222222222222e-05,
|
1129 |
+
"loss": 1.0955,
|
1130 |
+
"step": 93500
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 2.28,
|
1134 |
+
"learning_rate": 1.202020202020202e-05,
|
1135 |
+
"loss": 1.0723,
|
1136 |
+
"step": 94000
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 2.29,
|
1140 |
+
"learning_rate": 1.1818181818181819e-05,
|
1141 |
+
"loss": 1.107,
|
1142 |
+
"step": 94500
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 2.3,
|
1146 |
+
"learning_rate": 1.1616161616161616e-05,
|
1147 |
+
"loss": 1.0941,
|
1148 |
+
"step": 95000
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 2.32,
|
1152 |
+
"learning_rate": 1.1414141414141415e-05,
|
1153 |
+
"loss": 1.0638,
|
1154 |
+
"step": 95500
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 2.33,
|
1158 |
+
"learning_rate": 1.1212121212121212e-05,
|
1159 |
+
"loss": 1.0862,
|
1160 |
+
"step": 96000
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 2.34,
|
1164 |
+
"learning_rate": 1.1010101010101011e-05,
|
1165 |
+
"loss": 1.0879,
|
1166 |
+
"step": 96500
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 2.35,
|
1170 |
+
"learning_rate": 1.0808080808080808e-05,
|
1171 |
+
"loss": 1.1124,
|
1172 |
+
"step": 97000
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 2.36,
|
1176 |
+
"learning_rate": 1.0606060606060607e-05,
|
1177 |
+
"loss": 1.0761,
|
1178 |
+
"step": 97500
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 2.38,
|
1182 |
+
"learning_rate": 1.0404040404040405e-05,
|
1183 |
+
"loss": 1.0931,
|
1184 |
+
"step": 98000
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 2.39,
|
1188 |
+
"learning_rate": 1.0202020202020204e-05,
|
1189 |
+
"loss": 1.0835,
|
1190 |
+
"step": 98500
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 2.4,
|
1194 |
+
"learning_rate": 1e-05,
|
1195 |
+
"loss": 1.0746,
|
1196 |
+
"step": 99000
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 2.41,
|
1200 |
+
"learning_rate": 9.7979797979798e-06,
|
1201 |
+
"loss": 1.099,
|
1202 |
+
"step": 99500
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 2.42,
|
1206 |
+
"learning_rate": 9.595959595959595e-06,
|
1207 |
+
"loss": 1.1072,
|
1208 |
+
"step": 100000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 2.44,
|
1212 |
+
"learning_rate": 9.393939393939394e-06,
|
1213 |
+
"loss": 1.0603,
|
1214 |
+
"step": 100500
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 2.45,
|
1218 |
+
"learning_rate": 9.191919191919192e-06,
|
1219 |
+
"loss": 1.0652,
|
1220 |
+
"step": 101000
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 2.46,
|
1224 |
+
"learning_rate": 8.98989898989899e-06,
|
1225 |
+
"loss": 1.0734,
|
1226 |
+
"step": 101500
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 2.47,
|
1230 |
+
"learning_rate": 8.787878787878788e-06,
|
1231 |
+
"loss": 1.0666,
|
1232 |
+
"step": 102000
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 2.48,
|
1236 |
+
"learning_rate": 8.585858585858587e-06,
|
1237 |
+
"loss": 1.0672,
|
1238 |
+
"step": 102500
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 2.5,
|
1242 |
+
"learning_rate": 8.383838383838384e-06,
|
1243 |
+
"loss": 1.0576,
|
1244 |
+
"step": 103000
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 2.51,
|
1248 |
+
"learning_rate": 8.181818181818183e-06,
|
1249 |
+
"loss": 1.0902,
|
1250 |
+
"step": 103500
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 2.52,
|
1254 |
+
"learning_rate": 7.97979797979798e-06,
|
1255 |
+
"loss": 1.0693,
|
1256 |
+
"step": 104000
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 2.53,
|
1260 |
+
"learning_rate": 7.777777777777777e-06,
|
1261 |
+
"loss": 1.0336,
|
1262 |
+
"step": 104500
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 2.55,
|
1266 |
+
"learning_rate": 7.5757575757575764e-06,
|
1267 |
+
"loss": 1.0752,
|
1268 |
+
"step": 105000
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 2.56,
|
1272 |
+
"learning_rate": 7.3737373737373745e-06,
|
1273 |
+
"loss": 1.0896,
|
1274 |
+
"step": 105500
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 2.57,
|
1278 |
+
"learning_rate": 7.171717171717173e-06,
|
1279 |
+
"loss": 1.0674,
|
1280 |
+
"step": 106000
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 2.58,
|
1284 |
+
"learning_rate": 6.969696969696971e-06,
|
1285 |
+
"loss": 1.0682,
|
1286 |
+
"step": 106500
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 2.59,
|
1290 |
+
"learning_rate": 6.767676767676769e-06,
|
1291 |
+
"loss": 1.0851,
|
1292 |
+
"step": 107000
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 2.61,
|
1296 |
+
"learning_rate": 6.565656565656567e-06,
|
1297 |
+
"loss": 1.0671,
|
1298 |
+
"step": 107500
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 2.62,
|
1302 |
+
"learning_rate": 6.363636363636363e-06,
|
1303 |
+
"loss": 1.1211,
|
1304 |
+
"step": 108000
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 2.63,
|
1308 |
+
"learning_rate": 6.161616161616162e-06,
|
1309 |
+
"loss": 1.0873,
|
1310 |
+
"step": 108500
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 2.64,
|
1314 |
+
"learning_rate": 5.9595959595959605e-06,
|
1315 |
+
"loss": 1.0913,
|
1316 |
+
"step": 109000
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 2.65,
|
1320 |
+
"learning_rate": 5.7575757575757586e-06,
|
1321 |
+
"loss": 1.113,
|
1322 |
+
"step": 109500
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 2.67,
|
1326 |
+
"learning_rate": 5.555555555555556e-06,
|
1327 |
+
"loss": 1.0346,
|
1328 |
+
"step": 110000
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 2.68,
|
1332 |
+
"learning_rate": 5.353535353535354e-06,
|
1333 |
+
"loss": 1.1079,
|
1334 |
+
"step": 110500
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 2.69,
|
1338 |
+
"learning_rate": 5.151515151515152e-06,
|
1339 |
+
"loss": 1.0749,
|
1340 |
+
"step": 111000
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 2.7,
|
1344 |
+
"learning_rate": 4.949494949494949e-06,
|
1345 |
+
"loss": 1.0824,
|
1346 |
+
"step": 111500
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 2.72,
|
1350 |
+
"learning_rate": 4.747474747474747e-06,
|
1351 |
+
"loss": 1.0841,
|
1352 |
+
"step": 112000
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 2.73,
|
1356 |
+
"learning_rate": 4.5454545454545455e-06,
|
1357 |
+
"loss": 1.0914,
|
1358 |
+
"step": 112500
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 2.74,
|
1362 |
+
"learning_rate": 4.343434343434344e-06,
|
1363 |
+
"loss": 1.0605,
|
1364 |
+
"step": 113000
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 2.75,
|
1368 |
+
"learning_rate": 4.141414141414142e-06,
|
1369 |
+
"loss": 1.0965,
|
1370 |
+
"step": 113500
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 2.76,
|
1374 |
+
"learning_rate": 3.939393939393939e-06,
|
1375 |
+
"loss": 1.0902,
|
1376 |
+
"step": 114000
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 2.78,
|
1380 |
+
"learning_rate": 3.7373737373737375e-06,
|
1381 |
+
"loss": 1.0711,
|
1382 |
+
"step": 114500
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 2.79,
|
1386 |
+
"learning_rate": 3.5353535353535352e-06,
|
1387 |
+
"loss": 1.1054,
|
1388 |
+
"step": 115000
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 2.8,
|
1392 |
+
"learning_rate": 3.3333333333333333e-06,
|
1393 |
+
"loss": 1.0563,
|
1394 |
+
"step": 115500
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 2.81,
|
1398 |
+
"learning_rate": 3.1313131313131314e-06,
|
1399 |
+
"loss": 1.0524,
|
1400 |
+
"step": 116000
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 2.82,
|
1404 |
+
"learning_rate": 2.9292929292929295e-06,
|
1405 |
+
"loss": 1.0564,
|
1406 |
+
"step": 116500
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 2.84,
|
1410 |
+
"learning_rate": 2.7272727272727272e-06,
|
1411 |
+
"loss": 1.0935,
|
1412 |
+
"step": 117000
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 2.85,
|
1416 |
+
"learning_rate": 2.5252525252525253e-06,
|
1417 |
+
"loss": 1.0868,
|
1418 |
+
"step": 117500
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 2.86,
|
1422 |
+
"learning_rate": 2.3232323232323234e-06,
|
1423 |
+
"loss": 1.0526,
|
1424 |
+
"step": 118000
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 2.87,
|
1428 |
+
"learning_rate": 2.1212121212121216e-06,
|
1429 |
+
"loss": 1.0539,
|
1430 |
+
"step": 118500
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 2.88,
|
1434 |
+
"learning_rate": 1.9191919191919192e-06,
|
1435 |
+
"loss": 1.0605,
|
1436 |
+
"step": 119000
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 2.9,
|
1440 |
+
"learning_rate": 1.7171717171717171e-06,
|
1441 |
+
"loss": 1.0406,
|
1442 |
+
"step": 119500
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 2.91,
|
1446 |
+
"learning_rate": 1.5151515151515152e-06,
|
1447 |
+
"loss": 1.0582,
|
1448 |
+
"step": 120000
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 2.92,
|
1452 |
+
"learning_rate": 1.3131313131313131e-06,
|
1453 |
+
"loss": 1.0763,
|
1454 |
+
"step": 120500
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 2.93,
|
1458 |
+
"learning_rate": 1.1111111111111112e-06,
|
1459 |
+
"loss": 1.0838,
|
1460 |
+
"step": 121000
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 2.95,
|
1464 |
+
"learning_rate": 9.09090909090909e-07,
|
1465 |
+
"loss": 1.0547,
|
1466 |
+
"step": 121500
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 2.96,
|
1470 |
+
"learning_rate": 7.070707070707071e-07,
|
1471 |
+
"loss": 1.07,
|
1472 |
+
"step": 122000
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 2.97,
|
1476 |
+
"learning_rate": 5.050505050505052e-07,
|
1477 |
+
"loss": 1.0643,
|
1478 |
+
"step": 122500
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 2.98,
|
1482 |
+
"learning_rate": 3.0303030303030305e-07,
|
1483 |
+
"loss": 1.0826,
|
1484 |
+
"step": 123000
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 2.99,
|
1488 |
+
"learning_rate": 1.0101010101010101e-07,
|
1489 |
+
"loss": 1.0529,
|
1490 |
+
"step": 123500
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 3.0,
|
1494 |
+
"step": 123750,
|
1495 |
+
"total_flos": 14680805909643264,
|
1496 |
+
"train_runtime": 13647.3004,
|
1497 |
+
"train_samples_per_second": 9.068
|
1498 |
+
}
|
1499 |
+
],
|
1500 |
+
"max_steps": 123750,
|
1501 |
+
"num_train_epochs": 3,
|
1502 |
+
"total_flos": 14680805909643264,
|
1503 |
+
"trial_name": null,
|
1504 |
+
"trial_params": null
|
1505 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec1e27171ecc64c359faf78cdec31874ba555c298b4f87f37c5de5ce219e8965
|
3 |
+
size 2223
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|